Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China.
Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning 530021, China; Department of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou 545006, Guangxi, China.
Sci Total Environ. 2022 Mar 10;811:151327. doi: 10.1016/j.scitotenv.2021.151327. Epub 2021 Oct 28.
Studies on the relationships between exposure to metal mixtures and telomere length (TL) are limited, particularly longitudinal studies. Few studies are available on the potential sex-specific associations between metal exposures and TL change. We examined blood metal concentrations and TL at baseline (August 2012) and follow-up (June 2020) among 316 participants in a ferro-manganese refinery. The least absolute shrinkage and selection operator (LASSO) followed by the generalized linear model (GLM) was applied to evaluate the associations between multiple-metal exposures and TL change (TL in 2012 minus TL in 2020). Bayesian kernel machine regression (BKMR) was applied to cope with metal mixtures and evaluate their joint effects on TL change. Among men, three statistical methods consistently showed rubidium was negatively associated with TL change (β [95% CI] = -2.755 [-5.119, -0.391] in the GLM) and dominated the negative overall effects of 10 metal mixtures (magnesium, manganese, iron, cobalt, copper, zinc, selenium, rubidium, cadmium, and lead) on TL change (posterior inclusion probabilities = 0.816). Among women, the GLM (β [95% CI] = 4.463 [0.943, 7.983]) and LASSO (β = 4.289) showed rubidium was positively associated with TL change. Interestingly, no significant association was observed between exposure to metal mixtures and TL change in overall participants (P > 0.05). Furthermore, stratified analysis showed significant relationships between rubidium and TL change in men (β = -2.744), women (β = 3.624), and current smokers (β = -3.266) (both P interaction <0.05). In summary, our findings underlined the steady and negative association between rubidium and TL change among men with potential sex-dependent heterogeneities. Further experimental studies are required to expound the underlying mechanisms.
关于金属混合物暴露与端粒长度(TL)之间关系的研究有限,特别是纵向研究。关于金属暴露与 TL 变化之间潜在的性别特异性关联的研究很少。我们在一家铁锰冶炼厂的 316 名参与者中,研究了基线(2012 年 8 月)和随访(2020 年 6 月)时的血液金属浓度和 TL。最小绝对收缩和选择算子(LASSO)后接广义线性模型(GLM)用于评估多种金属暴露与 TL 变化之间的关系(2012 年的 TL 减去 2020 年的 TL)。贝叶斯核机器回归(BKMR)用于处理金属混合物并评估它们对 TL 变化的联合影响。在男性中,三种统计方法一致表明,铷与 TL 变化呈负相关(GLM 中的β[95%CI]=-2.755[-5.119,-0.391]),并主导了 10 种金属混合物(镁、锰、铁、钴、铜、锌、硒、铷、镉和铅)对 TL 变化的负总效应(后验包含概率=0.816)。在女性中,GLM(β[95%CI]=4.463[0.943,7.983])和 LASSO(β=4.289)表明,铷与 TL 变化呈正相关。有趣的是,在所有参与者中,金属混合物暴露与 TL 变化之间没有观察到显著关联(P>0.05)。此外,分层分析表明,在男性(β=-2.744)、女性(β=3.624)和当前吸烟者(β=-3.266)中,铷与 TL 变化之间存在显著关系(两者的 P 交互<0.05)。总之,我们的研究结果强调了男性中铷与 TL 变化之间的稳定负相关关系,并且存在潜在的性别依赖性异质性。需要进一步的实验研究来阐明潜在的机制。